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experience programming in Python or C++. Candidates who are interested in multiple projects within our group need only register their interest once and will be considered for all projects in which they have an
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and coding using either Python or Mathematica are essential. Experience with a computer algebra system such as Mathematica is an advantage. We are also looking for good written and verbal communication
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feed into a larger scientific endeavour. Good mathematical and communication skills are essential. In addition, the applicant should have good coding skills in Python or Mathematica, and/or the desire
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, but not essential. This project will involve a mix of analytic and numerical work; therefore strong technical skills in both pen-and-paper calculations and coding using either Python or Mathematica
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development practice, including detecting, mitigating and fixing. Essential Application/interview Experience in writing software tools in Python, Ruby and/or Java, aimed at addressing the problem of flaky tests
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solid understanding of solid mechanics, continuum mechanics and material behaviour. Proficiency in programming (e.g., Python) and experience with numerical methods (e.g., FEM) are desirable. Familiarity
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for data analysis, in particular Python, is a desirable skill. Candidates with a strong willingness to learn and apply Python throughout the project are also encouraged to apply. • Good level of
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Python, MATLAB, or a similar language. A demonstrable interest in Machine Learning (ML), particularly its application to real-world physical systems. Prior knowledge of gas turbine engines is not required
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on an existing experiment design. This will allow the student to familiarise themselves with the relevant Physics, literature, Fortran code, Python analysis tools, and simulation setup while providing a valuable
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, glacier change, interdisciplinary research) Essential Application/Interview Expertise in remote sensing/GIS software (e.g. ArcGIS, QGIS, Python) Essential Application/Interview Ability to take